41 citations · 88 across the 16 of their papers we have counts for
Showing 2018Show all
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cs.LG2018
MaxHedge: Maximising a Maximum Online
Stephen Pasteris, Fabio Vitale, Kevin Chan +2
We introduce a new online learning framework where, at each trial, the learner is required to select a subset of actions from a given known action set. Each action is associated wi…
cs.LG2018★ 1 cited
Online Reciprocal Recommendation with Theoretical Performance Guarantees
Fabio Vitale, Nikos Parotsidis, Claudio Gentile
A reciprocal recommendation problem is one where the goal of learning is not just to predict a user's preference towards a passive item (e.g., a book), but to recommend the targete…